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On SEP 8 2025, ETHFI rose by 42.66% within 24 hours to reach $1.193, ETHFI rose by 261.55% within 7 days, rose by 1020.6% within 1 month, and dropped by 4593.48% within 1 year.
ETHFI, a token linked to Ethereum-based financial infrastructure, experienced a sharp rebound in short-term trading metrics over the past week. A 261.55% gain in seven days and a 1020.6% increase in one month signal strong buyer accumulation and renewed institutional interest, particularly in the past 30 days. The rapid price movement suggests heightened activity in liquidity pools and derivative markets tied to ETHFI’s underlying architecture.
Technical indicators reflect this upward shift. The RSI is currently in overbought territory, suggesting a potential correction may be near. However, sustained volume and bullish momentum metrics, including a sustained move above the 50-day and 200-day moving averages, suggest a continuation of the current trend is likely. Traders have noted a pattern of accumulation in the form of repeated buying pressure at key price levels, particularly in the range of $0.80 to $1.20.
The on-chain data also shows a significant reduction in the number of addresses holding more than 10,000 ETHFI units, indicating possible redistribution or unlocking of long-held supply. This dynamic may be driving the short-term gains and could be indicative of a broader market re-rating of ETHFI’s fundamentals.
Backtest Hypothesis
A proposed backtesting strategy focuses on leveraging the recent momentum while accounting for overbought conditions. The hypothesis employs a mean-reversion approach using the RSI as a trigger. When the RSI crosses above 70, a sell signal is generated; when it falls below 30, a buy signal is triggered. The strategy incorporates a trailing stop-loss of 5% below the entry price to protect gains and manage drawdowns.
This approach would have captured a portion of the recent gains during the 7-day and 30-day upsurge, exiting at overbought levels to secure partial profits. The strategy also aims to re-enter at oversold levels, assuming a return to the mean. Given the recent price volatility and sharp rebounds, this method could serve as a viable framework for traders seeking to capture both upward and downward swings within a controlled risk envelope.
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